Electrical Load Forecasting Based on Multi-model Combination by Stacking Ensemble Learning Algorithm

Load forecasting is helpful to achieve the goals of emission reduction and the balance of power generation and consumption. In this paper, a load forecasting method based on multi-model combination by Stacking ensemble method was proposed. The most appropriate basic models were chosen as the basic l...

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Vydáno v:	2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) s. 739 - 743
Hlavní autoři:	Jiang, Jianfeng, Zhu, Wenjun, Zhang, Chong, Xingang, Wang
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 28.06.2021
Témata:	Computational modeling ensemble learning Learning (artificial intelligence) Linear regression Load forecasting Machine learning algorithms Predictive models Stacking
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